Tag: Cortana Intelligence

First question Contoso wanted to know is are we making money? Is that a surprise to you? Hopefully not. But we haven’t answered it yet! Primarily because though we have a strong handle on their sales side of things, but the cost data cannot be trusted. There is more business process work to do here…

How do you make sense of sales data generated by transactions with 100,000 customers, 10000 products from 15 different sites through 10 different channels? It’s easy, you say, because there are now so many tools available to do this and this is not even big data. But it’s also hard because you don’t need big data…

There are many ways to analyze customer data. We present here the approach that may be taken with the tools that are available with Cortana Intelligence. Do some basic business analysis – get to know the customer, get to know the data, do some simple charts to see how revenue changes, margins change, what products…

This post describes the Microsoft Pricing Engine (MPE), a cloud tool for pricing optimization. MPE is easy to integrate into the business process as it uses the business’ transactional history and does not require A/B testing infrastructure to be set up. A double-residual modeling approach in MPE is the newest advanced causal inference approach to…

In general, machine learning approaches expose many options that affect performance and accuracy. “AutoML” (Automated ML) concerns problems of optimizing over such options. Forecasting demand of products that form a hierarchy raises this kind of challenge. We recently wrote a blog post about demand forecasting for hierarchical data. We listed several approaches to reconciling forecasts…

Get hands-on with Cortana Intelligence Suite If you’d like to learn how to architect solutions in Cortana Intelligence Suite and how to build intelligence into your applications, join Microsoft Architects Jin Cho and Todd Kitta for a step-by-step look at the platform. On December 6, 2016, in the “Cortana Intelligence Suite End to End” event,…

We now have the recommendations API integrated and available from within Dynamics 365 for Operations. In the Nov. 1, 2016 update to Dynamics 365 for operations, now you can view the product recommendations inside cloud POS. This is the first time that we bring insights derived from Cortana intelligence suite components using machine learning right within…

We now have the Recommendation API integrated with Dynamics AX 2012 with cumulative update 12. You don’t need CU12 to have this working. If you have CU8 or higher and have the entity store hotfix, this will work. Download the hotfix here or search in LCS for KB3201875. This is the first time that we…

Microsoft Data Science Virtual Machine (DSVM) is a custom virtual machine on Microsoft’s Azure cloud build specifically for doing data science. It’s a powerful data science development sandbox equipped with the most popular tools for data exploration and modelling. You can provision a DSVM with a few clicks on Microsoft Azure website, and within 10-20…

Introduction Demand forecasting is an essential component of supply chain management. Accurate demand forecast leads to more effective production planning, better inventory management, or more accurate capacity planning. We collaborated with UXC Eclipse, a global Dynamics partner, to build a customer-tailored application for demand forecasting using Cortana Intelligence Suite components. The solution not only improved…